ArticleWorld journal of surgical oncology2020
Construction of prognostic predictor by comprehensive analyzing alternative splicing events for colon adenocarcinoma.
Article in World journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic and clinicopathological importance of microRNA-140 expression in cancer patients: a meta-analysis.World journal of surgical oncology · 2021Pooled it
- Identification of Key Prognostic Alternative Splicing Events of Costimulatory Molecule-Related Genes in Colon Cancer.Combinatorial chemistry & high throughput screening · 2024Article
- Establishment and validation of a prognostic model based on HRR-related lncRNAs in colon adenocarcinoma.World journal of surgical oncology · 2022Article
- Identification and validation of an immune-associated RNA-binding proteins signature to predict clinical outcomes and therapeutic responses in colon cancer patients.World journal of surgical oncology · 2021Article
- Circ_0026416 downregulation blocks the development of colorectal cancer through depleting MYO6 expression by enriching miR-545-3p.World journal of surgical oncology · 2021Article
- Importance of Circ0009910 in colorectal cancer pathogenesis as a possible regulator of miR-145 and PEAK1.World journal of surgical oncology · 2021Article
- Alterations of RNA splicing patterns in esophagus squamous cell carcinoma.Cell & bioscience · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColon adenocarcinoma (COAD) is one of the most common malignant tumors, with high incidence and mortality rates worldwide. Reliable prognostic biomarkers are needed to guide clinical practice.
methodsComprehensive gene expression with alternative splicing (AS) profiles for each patient was downloaded using the SpliceSeq database from The Cancer Genome Atlas. Cox regression analysis was conducted to screen for prognostic AS events. The R package limma was used to screen differentially expressed genes (DEGs) between normal and tumor samples in the COAD cohort. A Venn plot analysis was performed between DEGs and prognostic AS events, and the DEGs that co-occurred with prognostic AS events (DEGAS) were identified. The top 30 most-connected DEGAS in protein-protein interaction analysis were identified through Cox proportional hazards regression to establish prognostic models.
resultsIn total, 350 patients were included in the study. A total of 22,451 AS events were detected, of which 2004 from 1439 genes were significantly associated with survival time. By overlapping these 1439 genes with 6455 DEGs, 211 DEGs with AS events were identified. After the construction of the protein-protein interaction network, the top 30 hub genes were included in a multivariate analysis. Finally, a risk score based on 12 genes associated with overall survival was established (P < 0.05). The area under the curve was 0.782. The risk score was an independent predictor (P < 0.001).
conclusionsBy exploring survival-associated AS events, a powerful prognostic predictor consisting of 12 DEGAS was built. This study aims to propose a novel method to provide treatment targets for COAD and guide clinical practice in the future.
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